Development of Doped Graphene Oxide Resistive Memories for Applications Based on Neuromorphic Computing

Marina Sparvoli, Mauro F. P. Silva, Mario Gazziro. Development of Doped Graphene Oxide Resistive Memories for Applications Based on Neuromorphic Computing. In Ignacio Rojas, Gonzalo Joya, Andreu CatalĂ , editors, Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I. Volume 10305 of Lecture Notes in Computer Science, pages 580-588, Springer, 2017. [doi]

@inproceedings{SparvoliSG17,
  title = {Development of Doped Graphene Oxide Resistive Memories for Applications Based on Neuromorphic Computing},
  author = {Marina Sparvoli and Mauro F. P. Silva and Mario Gazziro},
  year = {2017},
  doi = {10.1007/978-3-319-59153-7_50},
  url = {https://doi.org/10.1007/978-3-319-59153-7_50},
  researchr = {https://researchr.org/publication/SparvoliSG17},
  cites = {0},
  citedby = {0},
  pages = {580-588},
  booktitle = {Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I},
  editor = {Ignacio Rojas and Gonzalo Joya and Andreu CatalĂ },
  volume = {10305},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59153-7},
}